Security News
tea.xyz Spam Plagues npm and RubyGems Package Registries
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
Exploratory Data Analysis app to display table and frequent values for each column
Readme
Big Data? Machine Learning?
You work with your data -
Manipulating it, merging, pivot and more.
But what happened in between? Did you get a lot of nans? Maybe duplicated values?
You constantly need to check your data status,
But you cannot do values_counts, isna and all those stuffs every second...
pandas_eda is an Exploratory Data Analysis tool that will show you status and frequent values for each column!
You will be focused on what you have on the spot.
Demo is the best way to understand:
install:
pip install pandas_eda
usage:
import pandas as pd
import pandas_eda
from time import sleep
# dummy data
df = pd._testing.makeMixedDataFrame()
# or load your data with pd.read_excel('whatever.xlsx')
# show original data. will pop up a web application
df.eda() # can use this at debug mode too!
# that's it. but you can do more...
# manipulation #1
df.A += 10
process = df.eda(title='take 2') # yes, you can open multiple EDA windows!
# process.kill()
# manipulation #2
df.loc[df.B==1, 'A'] -= 30
df.eda()
# no need at jupyter or debug mode...
# ending the script will end the eda too, so delaying the exit.
sleep(600)
headless mode
import pandas as pd
import pandas_eda
# disabling the wrapping of a long table at the print...
pd.options.display.expand_frame_repr = False
pd.options.display.max_columns = 0
pd.options.display.min_rows = 20
df = pandas_eda._testing.generate_fake_table(samples=1_000)
eda = df.eda(cli_mode=True)
print('\n\n *** column statistics *** ')
print(eda.get_columns_statistics())
print('\n\n *** frequent values *** ')
print(eda.get_frequent_values())
note:
If you're running on remote machine, the eda will be opened on the remote...
alternatives:
After starting this tool I've found 2 cool alternatives:
FAQs
Exploratory Data Analysis app to display table and frequent values for each column
We found that pandas-eda demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Tea.xyz, a crypto project aimed at rewarding open source contributions, is once again facing backlash due to an influx of spam packages flooding public package registries.
Security News
As cyber threats become more autonomous, AI-powered defenses are crucial for businesses to stay ahead of attackers who can exploit software vulnerabilities at scale.
Security News
UnitedHealth Group disclosed that the ransomware attack on Change Healthcare compromised protected health information for millions in the U.S., with estimated costs to the company expected to reach $1 billion.